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+91 88943 57155
Pune, Maharashtra, India

Duration

4 Years

Electrical Engineering

Government Polytechnic Satpuli
Duration
4 Years
Electrical UG OFFLINE

Duration

4 Years

Electrical Engineering

Government Polytechnic Satpuli
Duration
Apply

Fees

₹1,20,000

Placement

92.0%

Avg Package

₹4,50,000

Highest Package

₹8,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Electrical
UG
OFFLINE

Fees

₹1,20,000

Placement

92.0%

Avg Package

₹4,50,000

Highest Package

₹8,00,000

Seats

60

Students

300

ApplyCollege

Seats

60

Students

300

Curriculum

Course Structure Overview

The Electrical Engineering curriculum at Govt Polytechnic Satpuli is structured over eight semesters, combining foundational science subjects, core engineering principles, departmental electives, and practical lab experiences. Each semester builds upon previous knowledge while introducing new concepts relevant to industry demands.

SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
1ES101Engineering Mathematics I3-1-0-4None
1ES102Physics for Engineers3-1-0-4None
1ES103Chemistry for Engineers3-1-0-4None
1ES104Basic Electrical Engineering3-1-0-4None
1ES105Introduction to Programming2-1-0-3None
1ES106Engineering Graphics2-0-0-2None
2ES201Engineering Mathematics II3-1-0-4ES101
2ES202Electrical Circuits and Networks3-1-0-4ES104
2ES203Digital Logic Design3-1-0-4ES104
2ES204Electromagnetic Fields3-1-0-4ES102
2ES205Basic Electronics3-1-0-4ES104
2ES206Workshop Practice0-0-2-2None
3ES301Signals and Systems3-1-0-4ES201
3ES302Electrical Machines I3-1-0-4ES202
3ES303Control Systems3-1-0-4ES201
3ES304Power Electronics3-1-0-4ES205
3ES305Electronics Lab0-0-2-2ES205
3ES306Computer Programming2-1-0-3ES105
4ES401Electrical Machines II3-1-0-4ES302
4ES402Power Systems3-1-0-4ES302
4ES403Digital Signal Processing3-1-0-4ES301
4ES404Communication Systems3-1-0-4ES301
4ES405Embedded Systems3-1-0-4ES205
4ES406Project I0-0-6-6None
5ES501Power System Protection3-1-0-4ES402
5ES502Renewable Energy Systems3-1-0-4ES402
5ES503Industrial Automation3-1-0-4ES303
5ES504Advanced Control Systems3-1-0-4ES303
5ES505Microcontroller Applications3-1-0-4ES205
5ES506Project II0-0-6-6None
6ES601Smart Grid Technologies3-1-0-4ES502
6ES602Power Quality Analysis3-1-0-4ES402
6ES603Machine Learning for Electrical Engineering3-1-0-4ES301
6ES604Electrical Safety and Standards3-1-0-4ES302
6ES605IoT and Embedded Systems3-1-0-4ES505
6ES606Project III0-0-6-6None
7ES701Capstone Project I0-0-8-8None
7ES702Research Methodology2-0-0-2None
7ES703Elective I3-1-0-4None
7ES704Elective II3-1-0-4None
7ES705Professional Ethics2-0-0-2None
7ES706Industrial Training0-0-10-10None
8ES801Capstone Project II0-0-12-12None
8ES802Elective III3-1-0-4None
8ES803Elective IV3-1-0-4None
8ES804Entrepreneurship and Innovation2-0-0-2None
8ES805Internship Report0-0-10-10None
8ES806Final Thesis0-0-12-12None

Advanced Departmental Electives

Departmental electives provide students with the opportunity to explore specialized areas of interest within electrical engineering. These courses are designed to align with current industry trends and emerging technologies, ensuring that students remain competitive in the global job market.

1. Renewable Energy Systems

This elective explores the integration of renewable energy sources such as solar, wind, hydroelectric, and geothermal into electrical grids. Students study photovoltaic systems, wind turbine design, energy storage technologies, and smart grid integration strategies. The course emphasizes both theoretical understanding and practical application through simulations and real-world case studies.

2. Power Quality Analysis

Power quality refers to the characteristics of electricity supplied to consumers. This course delves into issues like harmonics, voltage fluctuations, and power factor correction. Students learn how to diagnose power quality problems using specialized tools and develop solutions for maintaining stable electrical systems in industrial and commercial settings.

3. Machine Learning for Electrical Engineering

This course bridges the gap between traditional electrical engineering and modern data science techniques. It introduces students to machine learning algorithms such as neural networks, decision trees, and clustering methods applied to power system optimization, predictive maintenance, and automated control systems. Practical labs involve coding exercises using Python and MATLAB.

4. Smart Grid Technologies

Smart grids represent the evolution of traditional electrical infrastructure into intelligent networks capable of self-monitoring, responding, and adapting to changes in demand or supply. This course covers communication protocols, sensor integration, cybersecurity, and automation technologies used in smart grid implementation.

5. Industrial Automation and Control

Students learn about programmable logic controllers (PLCs), human-machine interfaces (HMIs), and distributed control systems. The course combines theory with hands-on experience using industrial-grade simulation software and real-time control hardware, preparing students for roles in manufacturing and automation sectors.

6. Embedded Systems Design

This elective focuses on designing embedded systems for specific applications such as automotive electronics, medical devices, and IoT sensors. Students gain proficiency in microcontroller programming, digital logic design, and real-time operating system concepts. Labs involve building functional prototypes using Arduino and Raspberry Pi platforms.

7. Electrical Safety and Standards

This course covers electrical safety regulations, standards, and best practices for protecting personnel and equipment. Topics include grounding systems, circuit protection, hazard analysis, and compliance with national and international codes. The curriculum includes practical exercises involving safety assessments and emergency response procedures.

8. Advanced Power Electronics

Building on foundational power electronics concepts, this course explores high-efficiency converters, inverters, and motor drives used in renewable energy systems and electric vehicles. Students study switching techniques, power factor correction, and control strategies for advanced power conversion applications.

9. Digital Signal Processing Applications

This elective emphasizes practical implementation of digital signal processing techniques in audio, image, and biomedical signal analysis. Students learn how to design filters, perform spectral analysis, and implement algorithms using MATLAB or Python. Case studies include speech recognition systems, medical imaging systems, and radar signal processing.

10. Communication Systems Design

This course covers the principles of analog and digital communication systems including modulation techniques, channel coding, and error detection methods. Students engage in designing communication protocols for wireless networks, satellite systems, and fiber optic transmission lines using simulation tools like MATLAB or Simulink.

Project-Based Learning Philosophy

Project-based learning is a cornerstone of the Electrical Engineering program at Govt Polytechnic Satpuli. It encourages students to apply theoretical knowledge to real-world problems through collaborative, hands-on projects that mirror professional engineering environments.

Mini-Projects (Semesters 4 & 5)

Mini-projects are introduced in the fourth and fifth semesters as a way for students to gain early exposure to practical engineering challenges. These projects typically last two to three months and involve small teams of 3–5 students working under faculty supervision. Students are expected to define project scope, conduct literature reviews, design solutions, prototype components, and present findings.

Final-Year Thesis/Capstone Project (Semesters 7 & 8)

The final-year capstone project is the most significant component of the program. It spans both semesters seven and eight and requires students to tackle a substantial engineering problem or innovation. Projects are selected based on student interests, faculty availability, and industry relevance. Faculty mentors guide students throughout the process, from idea generation to final documentation and presentation.

Evaluation Criteria

Projects are evaluated using a rubric that includes technical proficiency, creativity, teamwork, communication, and adherence to engineering standards. Students must submit progress reports, mid-term presentations, and a final comprehensive report along with a demonstration or prototype of their work. This approach ensures that students not only learn the content but also develop critical thinking and problem-solving skills essential for professional success.